CPC G06V 10/82 (2022.01) [G06T 3/4038 (2013.01); G06T 7/60 (2013.01); G06T 7/80 (2017.01); G06T 17/05 (2013.01); G06V 10/48 (2022.01); G06V 10/56 (2022.01); G06V 10/764 (2022.01); G06V 20/176 (2022.01); G06V 20/64 (2022.01)] | 24 Claims |
1. A computer vision system for detecting and extracting geometric features from digital images, comprising:
at least one computer system; and
computer vision system code executed by the at least one computer system, the computer vision system code causing the computer system to:
select a geospatial region of interest;
select and retrieve at least one digital image associated with the geospatial region of interest;
generate a plurality of image tiles from the at least one digital image;
generate a plurality of label tiles from the plurality of image tiles, each of the plurality of label tiles comprising a tensor having a height dimension, a width dimension, and a channel dimension;
combine the plurality of label tiles into a single labeling for the at least one digital image; and
extract two dimensional (“2D”) representations of geometric features from the at least one digital image using the single labeling.
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